Michael E. Papka

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 120

Top Venues

Publications

Boyang Li, Zhiling Lan, Michael E. Papka
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. CoRR (2024)
Amey A. Salvi, Kecheng Lu, Michael E. Papka, Yunhai Wang, Khairi Reda
Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps. CoRR (2024)
Thomas Marrinan, Ethan Honzik, Hal L. N. Brynteson, Michael E. Papka
Image Synthesis from a Collection of Depth Enhanced Panoramas: Creating Interactive Extended Reality Experiences from Static Images. IMX (2024)
Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Richy, William Allcocky, Michael E. Papka
MRSch: Multi-Resource Scheduling for HPC. CoRR (2024)
Ratanond Koonchanok, Michael E. Papka, Khairi Reda
Trust Your Gut: Comparing Human and Machine Inference from Noisy Visualizations. CoRR (2024)
Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu
MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. ICPE (2024)
Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu
MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes. CoRR (2024)
Murali Emani, Sam Foreman, Varuni Sastry, Zhen Xie, Siddhisanket Raskar, William Arnold, Rajeev Thakur, Venkatram Vishwanath, Michael E. Papka, Sanjif Shanmugavelu, Darshan Gandhi, Hengyu Zhao, Dun Ma, Kiran Ranganath, Rick Weisner, Jiunn-yeu Chen, Yuting Yang, Natalia Vassilieva, Bin C. Zhang, Sylvia Howland, Alexander Tsyplikhin
Toward a Holistic Performance Evaluation of Large Language Models Across Diverse AI Accelerators. IPDPS (Workshops) (2024)
Victor A. Mateevitsi, Michael E. Papka, Khairi Reda
Science in a Blink: Supporting Ensemble Perception in Scalar Fields. CoRR (2024)
Thomas Marrinan, Madeleine Moeller, Alina Kanayinkal, Victor A. Mateevitsi, Michael E. Papka
VisAnywhere: Developing Multi-platform Scientific Visualization Applications. CoRR (2024)
Amey A. Salvi, Kecheng Lu, Michael E. Papka, Yunhai Wang, Khairi Reda
Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps. CHI (2024)
Nickolaus Saint, Ryan Chard, Rafael Vescovi, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Michael E. Papka, Rick Wagner, Kyle Chard, Ian T. Foster
Active Research Data Management with the Django Globus Portal Framework. PEARC (2023)
Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems. CoRR (2023)
Bharat Kale, Maoyuan Sun, Michael E. Papka
The State of the Art in Visualizing Dynamic Multivariate Networks. Comput. Graph. Forum 42 (3) (2023)
Bharat Kale, Austin Clyde, Maoyuan Sun, Arvind Ramanathan, Rick Stevens, Michael E. Papka
ChemoGraph: Interactive Visual Exploration of the Chemical Space. Comput. Graph. Forum 42 (3) (2023)
Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen
Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. SC Workshops (2023)
Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster
FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. CCGrid (2023)
Qi Wu, Joseph A. Insley, Victor A. Mateevitsi, Silvio Rizzi, Michael E. Papka, Kwan-Liu Ma
Distributed Neural Representation for Reactive in situ Visualization. CoRR (2023)
Diego A. Roa Perdomo, Paige C. Kinsley, José Monsalve Diaz, Michael E. Papka, Xiaoming Li
DEMAC: A Platform for Education in High-performance Computing, Bridging the Gap Between Users and Hardware. WCAE (2023)
Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan Ward, Valerie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37 (6) (2023)
Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen
Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. CoRR (2023)
Murali Emani, Sam Foreman, Varuni Sastry, Zhen Xie, Siddhisanket Raskar, William Arnold, Rajeev Thakur, Venkatram Vishwanath, Michael E. Papka
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators. CoRR (2023)
Boyang Li, Zhiling Lan, Michael E. Papka
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. MASCOTS (2023)
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR (2023)
Isaac Nealey, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi
Cinema Transfer: A Containerized Visualization Workflow. ISC Workshops (2022)
Thomas Marrinan, Jifu Tan, Joseph A. Insley, Alina Kanayinkal, Michael E. Papka
Interactive Virtual Reality Exploration of Large-Scale Datasets Using Omnidirectional Stereo Images. ISVC (1) (2022)
Charlie Catlett, Pete Beckman, Nicola J. Ferrier, Michael E. Papka, Rajesh Sankaran, Jeff Solin, Valerie E. Taylor, Douglas Pancoast, Daniel A. Reed, Manish Parashar, David Abramson
Hands-On Computer Science: The Array of Things Experimental Urban Instrument. Comput. Sci. Eng. 24 (1) (2022)
Yuping Fan, Boyang Li, Dustin Favorite, Naunidh Singh, John Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Nazariy Tishchenko, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi, Jifu Tan
Toward Bi-directional In Situ Visualization and Analysis of Blood Flow Simulations With Dynamic Deforming Walls. LDAV (2022)
Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur, Venkatram Vishwanath, Zhengchun Liu, Michael E. Papka, Cindy Orozco Bohorquez, Rick Weisner, Karen Li, Yongning Sheng, Yun Du, Jian Zhang, Alexander Tsyplikhin, Gurdaman Khaira, Jeremy Fowers, Ramakrishnan Sivakumar, Victoria Godsoe, Adrian Macias, Chetan Tekur, Matthew Boyd
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. PMBS@SC (2022)
Boyang Li, Yuping Fan, Michael E. Papka, Zhiling Lan
Encoding for Reinforcement Learning Driven Scheduling. JSSPP (2022)
Rafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR (2022)
Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
Hybrid Workload Scheduling on HPC Systems. IPDPS (2022)
Travis Mackoy, Bharat Kale, Michael E. Papka, Ralph A. Wheeler
Corrigendum to "viewSq, a Visual Molecular Dynamics (VMD) module for calculating, analyzing, and visualizing X-ray and neutron structure factors from atomistic simulations" [Comput. Phys. Commun. 264 (2021) 107881]. Comput. Phys. Commun. 276 (2022)
Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
MRSch: Multi-Resource Scheduling for HPC. CLUSTER (2022)
Pratool Bharti, Priyanjani Chandra, Michael E. Papka, David Koop
An Edge Map based Ensemble Solution to Detect Water Level in Stream. CoRR (2022)
Rafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3 (10) (2022)
Jason A. Ortiz, Joseph A. Insley, Janet Knowles, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi
Massive Data Visualization Techniques for use in Virtual Reality Devices. LDAV (2022)
Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems. CCGRID (2022)
Khairi Reda, Amey A. Salvi, Jack Gray, Michael E. Papka
Color Nameability Predicts Inference Accuracy in Spatial Visualizations. Comput. Graph. Forum 40 (3) (2021)
Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
Hybrid Workload Scheduling on HPC Systems. CoRR (2021)
Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka
Deep Reinforcement Agent for Scheduling in HPC. IPDPS (2021)
Travis Mackoy, Bharat Kale, Michael E. Papka, Ralph A. Wheeler
viewSq, a Visual Molecular Dynamics (VMD) module for calculating, analyzing, and visualizing X-ray and neutron structure factors from atomistic simulations. Comput. Phys. Commun. 264 (2021)
Anthony Bucaro, Connor Murphy, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi, Jifu Tan
Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis. LDAV (2021)
Riley Lipinski, Kenneth Moreland, Michael E. Papka, Thomas Marrinan
GPU-based Image Compression for Efficient Compositing in Distributed Rendering Applications. LDAV (2021)
Pambayun Savira, Thomas Marrinan, Michael E. Papka
Writing, Running, and Analyzing Large-scale Scientific Simulations with Jupyter Notebooks. LDAV (2021)
Michael Salim, Thomas D. Uram, J. Taylor Childers, Venkat Vishwanath, Michael E. Papka
Toward Real-time Analysis of Experimental Science Workloads on Geographically Distributed Supercomputers. CoRR (2021)
Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes. CoRR (2021)
Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka
Deep Reinforcement Agent for Scheduling in HPC. CoRR (2021)
Thomas Marrinan, Michael E. Papka
Real-Time Omnidirectional Stereo Rendering: Generating 360° Surround-View Panoramic Images for Comfortable Immersive Viewing. IEEE Trans. Vis. Comput. Graph. 27 (5) (2021)
Bharat Kale, Maoyuan Sun, Michael E. Papka
Direct Ordering: A Direct Manipulation Based Ordering Technique. IUI Workshops (2021)
Murali Emani, Venkatram Vishwanath, Corey Adams, Michael E. Papka, Rick Stevens, Laura Florescu, Sumti Jairath, William Liu, Tejas Nama, Arvind Sujeeth, Volodymyr V. Kindratenko, Anne C. Elster
Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture. Comput. Sci. Eng. 23 (2) (2021)
Nils Heinonen, James J. Hack, Michael E. Papka
Predicting the Risk of Cancer With Computational Electrodynamics. Comput. Sci. Eng. 22 (1) (2020)
Charlie Catlett, Peter H. Beckman, Nicola J. Ferrier, Howard C. Nusbaum, Michael E. Papka, Marc G. Berman, Rajesh Sankaran
Measuring Cities with Software-Defined Sensors. J. Soc. Comput. 1 (1) (2020)
Zhengchun Liu, Ryan Lewis, Rajkumar Kettimuthu, Kevin Harms, Philip H. Carns, Nageswara S. V. Rao, Ian T. Foster, Michael E. Papka
Characterization and identification of HPC applications at leadership computing facility. ICS (2020)
James J. Hack, Michael E. Papka
The U.S. High-Performance Computing Consortium in the Fight Against COVID-19. Comput. Sci. Eng. 22 (6) (2020)
Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul
Scheduling Beyond CPUs for HPC. CoRR (2020)
Michael A. Salim, Thomas D. Uram, J. Taylor Childers, Venkatram Vishwanath, Michael E. Papka
Balsam: Near Real-Time Experimental Data Analysis on Supercomputers. XLOOP@SC (2019)
Sergei Shudler, Nicola J. Ferrier, Joseph A. Insley, Michael E. Papka, Saumil Patel, Silvio Rizzi
Fast Mesh Validation in Combustion Simulations through In-Situ Visualization. EGPGV@EuroVis (2019)
Sergei Shudler, Nicola J. Ferrier, Joseph A. Insley, Michael E. Papka, Silvio Rizzi
Spack meets singularity: creating movable in-situ analysis stacks with ease. ISAV@SC (2019)
Thomas Marrinan, Silvio Rizzi, Joseph A. Insley, Lance Long, Luc Renambot, Michael E. Papka
PxStream: Remote Visualization for Distributed Rendering Frameworks. LDAV (2019)
William E. Allcock, Benjamin S. Allen, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Ian T. Foster, Lukasz Lacinski, Michael E. Papka, Rick Wagner
Petrel: A Programmatically Accessible Research Data Service. PEARC (2019)
Shilpika, Bethany Lusch, Murali Emani, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
MELA: A Visual Analytics Tool for Studying Multifidelity HPC System Logs. DAAC@SC (2019)
Katie Elyce Jones, James J. Hack, Michael E. Papka
Supercomputing Improves Predictions of Fluid Flow in Rock. Comput. Sci. Eng. 21 (6) (2019)
Michael A. Salim, Thomas D. Uram, J. Taylor Childers, Prasanna Balaprakash, Venkatram Vishwanath, Michael E. Papka
Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows. CoRR (2019)
Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul
Scheduling Beyond CPUs for HPC. HPDC (2019)
Allen R. Sanderson, John A. Schmidt, Alan Humphrey, Michael E. Papka, Robert Sisneros
In Situ Visualization of Performance Metrics in Multiple Domains. ProTools@SC (2019)
Khairi Reda, Michael E. Papka
Evaluating Gradient Perception in Color-Coded Scalar Fields. IEEE VIS (Short Papers) (2019)
Thomas Marrinan, Greg Eisenhauer, Matthew Wolf, Joseph A. Insley, Silvio Rizzi, Michael E. Papka
Parallel streaming between heterogeneous HPC resources for real-time analysis. J. Comput. Sci. 31 (2019)
Nils Heinonen, James J. Hack, Michael E. Papka
Software Stack in a Snapshot. Comput. Sci. Eng. 21 (3) (2019)
Bennett Bernardoni, Nicola J. Ferrier, Joseph A. Insley, Michael E. Papka, Saumil Patel, Silvio Rizzi
In Situ Visualization and Analysis to Design Large Scale Experiments in Computational Fluid Dynamics. LDAV (2018)
Joseph Adamo, J. D. Emberson, Edouard B. Brooks, Silvio Rizzi, Joseph A. Insley, Michael E. Papka
Exploring Visualization Techniques with HACC Simulation Data. LDAV (2018)
Will Usher, Silvio Rizzi, Ingo Wald, Jefferson Amstutz, Joseph A. Insley, Venkatram Vishwanath, Nicola J. Ferrier, Michael E. Papka, Valerio Pascucci
libIS: a lightweight library for flexible in transit visualization. ISAV@SC (2018)
Li Yu, Zhou Zhou, Yuping Fan, Michael E. Papka, Zhiling Lan
System-wide trade-off modeling of performance, power, and resilience on petascale systems. J. Supercomput. 74 (7) (2018)
Thomas Marrinan, Silvio Rizzi, Joseph A. Insley, Brian R. Toonen, William E. Allcock, Michael E. Papka
Transferring Data from High-Performance Simulations to Extreme Scale Analysis Applications in Real-Time. IPDPS Workshops (2018)
Preeti Malakar, Todd S. Munson, Christopher Knight, Venkatram Vishwanath, Michael E. Papka
Topology-aware space-shared co-analysis of large-scale molecular dynamics simulations. SC (2018)
William E. Allcock, Bennett Bernardoni, Colleen Bertoni, Neil Getty, Joseph A. Insley, Michael E. Papka, Silvio Rizzi, Brian R. Toonen
RAM as a Network Managed Resource. IPDPS Workshops (2018)
Ryan Chard, Ravi K. Madduri, Nicholas T. Karonis, Kyle Chard, Kirk L. Duffin, Caesar E. Ordoñez, Thomas D. Uram, Justin Fleischauer, Ian T. Foster, Michael E. Papka, John Winans
Scalable pCT Image Reconstruction Delivered as a Cloud Service. IEEE Trans. Cloud Comput. 6 (1) (2018)
John T. Childers, Thomas D. Uram, T. J. LeCompte, Michael E. Papka, D. P. Benjamin
Adapting the serial Alpgen parton-interaction generator to simulate LHC collisions on millions of parallel threads. Comput. Phys. Commun. 210 (2017)
Bharat Kale, Harish Varma Siravuri, Hamed Alhoori, Michael E. Papka
Predicting Research that will be Cited in Policy Documents. CoRR (2017)
Bharat Kale, Harish Varma Siravuri, Hamed Alhoori, Michael E. Papka
Predicting Research that will be Cited in Policy Documents. WebSci (2017)
Michael J. Lewis, George K. Thiruvathukal, Venkatram Vishwanath, Michael E. Papka, Andrew E. Johnson
A distributed graph approach for pre-processing linked RDF data using supercomputers. SBD@SIGMOD (2017)
Christian Bailey, Bharat Kale, Jamieson Walker, Harish Varma Siravuri, Hamed Alhoori, Michael E. Papka
Exploring Features for Predicting Policy Citations. JCDL (2017)
Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates. CLUSTER (2017)
Christian Bailey, Bharat Kale, Jamieson Walker, Harish Varma Siravuri, Hamed Alhoori, Michael E. Papka
Exploring Features for Predicting Policy Citations. CoRR (2017)
Thomas Marrinan, Joseph A. Insley, Silvio Rizzi, Francois Tessier, Michael E. Papka
Automated Dynamic Data Redistribution. IPDPS Workshops (2017)
Takanori Fujiwara, Preeti Malakar, Khairi Reda, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
A Visual Analytics System for Optimizing Communications in Massively Parallel Applications. VAST (2017)
Preeti Malakar, Christopher Knight, Todd S. Munson, Venkatram Vishwanath, Michael E. Papka
Scalable In situ Analysis of Molecular Dynamics Simulations. ISAV@SC (2017)
Sarah Read, Michael E. Papka
Operational metrics reporting processes at scientific user facilities: Comparing a high-energy x-ray synchrotron facility to a supercomputing facility. ProComm (2017)
Edouard B. Brooks, Joseph A. Insley, Michael E. Papka, Silvio Rizzi
Virtual reality tools for the correction of automated volume segmentation errors using dense surface reconstructions. LDAV (2017)
Will Usher, Ingo Wald, Aaron Knoll, Michael E. Papka, Valerio Pascucci
In Situ Exploration of Particle Simulations with CPU Ray Tracing. Supercomput. Front. Innov. 3 (4) (2016)
Preeti Malakar, Venkatram Vishwanath, Christopher Knight, Todd S. Munson, Michael E. Papka
Optimal execution of co-analysis for large-scale molecular dynamics simulations. SC (2016)
Pete Beckman, Rajesh Sankaran, Charlie Catlett, Nicola J. Ferrier, Robert L. Jacob, Michael E. Papka
Waggle: An open sensor platform for edge computing. IEEE SENSORS (2016)
Dawid Zawislak, Brian R. Toonen, William E. Allcock, Silvio Rizzi, Joseph A. Insley, Venkatram Vishwanath, Michael E. Papka
Early Investigations into Using a Remote RAM Pool with the vl3 Visualization Framework. ISAV@SC (2016)
Khairi Reda, Andrew E. Johnson, Michael E. Papka, Jason Leigh
Modeling and evaluating user behavior in exploratory visual analysis. Inf. Vis. 15 (4) (2016)
Sarah Read, Michael E. Papka
Improving models of document cycling: Accounting for the less visible writing activities of an annual reporting process at a supercomputing facility. IPCC (2016)
Sean Wallace, Xu Yang, Venkatram Vishwanath, William E. Allcock, Susan Coghlan, Michael E. Papka, Zhiling Lan
A data driven scheduling approach for power management on HPC systems. SC (2016)
Michael E. Papka
LSPP 2016 Keynote. IPDPS Workshops (2016)
Silvio Rizzi, Mark Hereld, Joseph A. Insley, Preeti Malakar, Michael E. Papka, Thomas D. Uram, Venkatram Vishwanath
Coupling LAMMPS and the vl3 Framework for Co-Visualization of Atomistic Simulations. IPDPS Workshops (2016)
Min Shih, Silvio Rizzi, Joseph A. Insley, Thomas D. Uram, Venkatram Vishwanath, Mark Hereld, Michael E. Papka, Kwan-Liu Ma
Parallel distributed, GPU-accelerated, advanced lighting calculations for large-scale volume visualization. LDAV (2016)

Michael E. Papka.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael E. Papka